Einleitung

Bartneck, Christoph; Belpaeme, Tony; Eyssel, Friederike Anne; Kanda, Takayuki; Keijsers, Merel; Šabanović, Selma

doi:10.3139/9783446464131.001

Cited by 5 publications

(20 citation statements)

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“…However, its existence by itself is not enough to justify its presence in a service environment. It is important that the social robot is able to provide some kind of clear benefits to companies and that it can also adapt to diverse and unstructured environments (Bartneck et al 2019 ), which could improve the expectations for its presence for long periods (Baraka et al 2020 ; Leite et al 2013 ). Hence, it is important to carry out fieldwork that allows generating greater interaction between consumers, companies and researchers, as is the circumstance in this case (Tulli et al 2019 ).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Entrepreneurship innovation using social robots in tourism: a social listening study

et al. 2023

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The tourism sector has been one of the most impacted by the COVID-19 pandemic, due to restrictions on mobility and fear of social contact. In this context, business innovation through digital transformation is presented as a great opportunity for the tourism industry and the inclusion of social robots in service tasks is an example. This transformation requires new methodologies, skills and talent that must be promoted to improve the innovative tourism ecosystem. With this research, we try to determine how the inclusion of social or service robots in hotels can improve the image and perception held by clients or guests. For that, we first analyse the degree of knowledge and sentiment generated by social robots through a social listening study in social networks. In addition, we determine whether these perceptions on the subject are in tune with other more formal fields, such as scientific research, or with the strategies followed at a national or international level by companies, agencies and organisations related to the technology and innovation of social robotics. For both objectives, we use the Simbiu social listening tool, a software-based program on Talkwalker, and we obtain interesting results. Basically, people on Twitter have a neutral or positive feeling about the use of social robots, and people who write in English have a more positive attitude towards social robots than Spanish speakers. After COVID-19, are necessary changes in strategic decisions of the hospitality and it is essential to continue investigating the role of social robots in this new context.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Entrepreneurship innovation using social robots in tourism: a social listening study

et al. 2023

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“…What should a robot look like, sound like and behave like? One classic principle for robot design is the ‘form-function fit’ ( Bartneck et al, 2020 ). It means that the form of a robot needs to reflect its function.…”

Section: Background and Related Workmentioning

confidence: 99%

“…This principle has been well tested and applied for robots which provide labour services, such as floor cleaning robots ( Prassler et al, 2000 ), a feeding robot ( Nanavati et al, 2023 ) and a navigation robot ( Asakawa, 2023 ). In recent decades, robots have been used more widely in social domains, such as education, healthcare, and entertainment ( Bartneck et al, 2020 , p.163). What a robot provides progresses from visible, tangible physical labour value to more abstract information and emotional value.…”

Section: Background and Related Workmentioning

confidence: 99%

“…For example, to add social presence and visual features such as eyes, ears or a mouth to a robot, project human-like faces or voices, or display emotions explicitly via facial expressions and speech. This design implies that human users can interact with a human-like robot socially ( Bartneck et al, 2020 , p.174). Many efforts have been devoted to developing human-like interactive technologies.…”

Section: Background and Related Workmentioning

confidence: 99%

“…In recent years, people have shown great interest in interacting with speech-enabled artificial agents, such as voice assistants in smartphones or smart speakers and social robots with embodiment. Springing from the ‘command and control systems’ of the 1970s, these agents now can act more actively in social interactions in the healthcare, education, entertainment and other social industries ( Bartneck et al, 2020 , p.163). Given the diversity of the use cases, there is a need to explore the appropriate designs of social robot interfaces in different use cases.…”

Section: Introductionmentioning

confidence: 99%

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Freedom comes at a cost?: An exploratory study on affordances’ impact on users’ perception of a social robot

Huang,

Moore

2024

Front. Robot. AI

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Along with the development of speech and language technologies, the market for speech-enabled human-robot interactions (HRI) has grown in recent years. However, it is found that people feel their conversational interactions with such robots are far from satisfactory. One of the reasons is the habitability gap, where the usability of a speech-enabled agent drops when its flexibility increases. For social robots, such flexibility is reflected in the diverse choice of robots’ appearances, sounds and behaviours, which shape a robot’s ‘affordance’. Whilst designers or users have enjoyed the freedom of constructing a social robot by integrating off-the-shelf technologies, such freedom comes at a potential cost: the users’ perceptions and satisfaction. Designing appropriate affordances is essential for the quality of HRI. It is hypothesised that a social robot with aligned affordances could create an appropriate perception of the robot and increase users’ satisfaction when speaking with it. Given that previous studies of affordance alignment mainly focus on one interface’s characteristics and face-voice match, we aim to deepen our understanding of affordance alignment with a robot’s behaviours and use cases. In particular, we investigate how a robot’s affordances affect users’ perceptions in different types of use cases. For this purpose, we conducted an exploratory experiment that included three different affordance settings (adult-like, child-like, and robot-like) and three use cases (informative, emotional, and hybrid). Participants were invited to talk to social robots in person. A mixed-methods approach was employed for quantitative and qualitative analysis of 156 interaction samples. The results show that static affordance (face and voice) has a statistically significant effect on the perceived warmth of the first impression; use cases affect people’s perceptions more on perceived competence and warmth before and after interactions. In addition, it shows the importance of aligning static affordance with behavioural affordance. General design principles of behavioural affordances are proposed. We anticipate that our empirical evidence will provide a clearer guideline for speech-enabled social robots’ affordance design. It will be a starting point for more sophisticated design guidelines. For example, personalised affordance design for individual or group users in different contexts.

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Using social robots for language learning: are we there yet?

Huang

Moore

2023

Journal of China Computer-Assisted Language Learning

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Along with the development of speech and language technologies and growing market interest, social robots have attracted more academic and commercial attention in recent decades. Their multimodal embodiment offers a broad range of possibilities, which have gained importance in the education sector. It has also led to a new technology-based field of language education: robot-assisted language learning (RALL). RALL has developed rapidly in second language learning, especially driven by the need to compensate for the shortage of first-language tutors. There are many implementation cases and studies of social robots, from early government-led attempts in Japan and South Korea to increasing research interests in Europe and worldwide. Compared with RALL used for English as a foreign language (EFL), however, there are fewer studies on applying RALL for teaching Chinese as a foreign language (CFL). One potential reason is that RALL is not well-known in the CFL field. This scope review paper attempts to fill this gap by addressing the balance between classroom implementation and research frontiers of social robots. The review first introduces the technical tool used in RALL, namely the social robot, at a high level. It then presents a historical overview of the real-life implementation of social robots in language classrooms in East Asia and Europe. It then provides a summary of the evaluation of RALL from the perspectives of L2 learners, teachers and technology developers. The overall goal of this paper is to gain insights into RALL’s potential and challenges and identify a rich set of open research questions for applying RALL to CFL. It is hoped that the review may inform interdisciplinary analysis and practice for scientific research and front-line teaching in future.

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Einleitung

Cited by 5 publications

References 0 publications

Entrepreneurship innovation using social robots in tourism: a social listening study

Entrepreneurship innovation using social robots in tourism: a social listening study

Freedom comes at a cost?: An exploratory study on affordances’ impact on users’ perception of a social robot

Using social robots for language learning: are we there yet?

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